ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5053
Single Precision Score
5027
Half Precision Score
12583
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | May 01 2025 01:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3139
583.7 IPS |
|
|
Image Classification (HP)
|
100% |
3168
589.2 IPS |
|
|
Image Classification (Q)
|
100% |
7821
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4115
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8737
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7859
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
7801
9.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
27318
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
2725
216.2 IPS |
|
|
Object Detection (Q)
|
88% |
8328
667.6 IPS |
|
|
Face Detection (SP)
|
100% |
9174
109.0 IPS |
|
|
Face Detection (HP)
|
100% |
9111
108.3 IPS |
|
|
Face Detection (Q)
|
100% |
20937
248.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8242
63.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
23652
183.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22492
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22227
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
77451
99.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14098
522.1 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
4921
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2407
41.5 IPS |
